A design and simulation of aircraft drilling end-effector based on bionics

Yuan, Pingzhi; Wang, Tianmiao; Ma, Fucun; Gong, Maozhen

doi:10.1109/mfi.2012.6343005

Cited by 2 publications

(2 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Devlieg [8] likewise developed a multi-function robotic drilling end-effector for 737 inboard flaps drilling with the functions of providing one-sided pressure to the work piece, auto-normalization, self-lubrication, vacuum chips extraction, automated vision, automated touch probing, precision drilling and countersinking, hole inspection, and milling, which is controlled with the Siemens CNC. In order to drill in huge parts hard to move, Yuan et al [9] put forward a bionics robotic drilling end-effector which moves along two mutually perpendicular flexible railways to realize flexible drilling. In contrast, Zhan and Wang [10] introduced a hand-eye vision system for calibration and positioning of a robotic drilling end-effector and analyzed the primary error of positioning.…”

Section: Introductionmentioning

confidence: 99%

Analysis and comparison of control strategies for normal adjustment of a robotic drilling end-effector

Zhang¹,

Dhupia²,

Wu³

2018

J. vibroeng.

View full text Add to dashboard Cite

Robotic drilling technology for aircraft flexible assembly has challenges and is under active investigation. In this work, a robotic drilling end-effector is designed and its normal adjustment system is dynamically modeled for comparison of advanced control strategies in terms of position tracking precision and dynamic quality. Three control algorithms with different computational complexity are proposed and compared: Based on computation torque control method first, a proportional and differential controller (PDC) and a sliding mode controller (SMC) are proposed respectively, and then is a model reference adaptive controller (MRAC). Simulation results show that the SMC has higher precision and a more excellent tracking property than the PDC of which the proportional and derivative gains have been optimally tuned using a modified Ziegler-Nichols' (Z-N) tuning methods. An experiment platform is established in MatLab xPC environment to validate the effect of the SMC and MRAC. The experiment results show that the MRAC delivers a better robust performance that allows adaptiveness to the nonlinear factors such as disturbance and parameter variations than the SMC. . His research interests include high precision machine tools, robotics, and error compensation for machine tools.

show abstract

Section: Introductionmentioning

confidence: 99%

Analysis and comparison of control strategies for normal adjustment of a robotic drilling end-effector

Zhang¹,

Dhupia²,

Wu³

2018

J. vibroeng.

View full text Add to dashboard Cite

show abstract

“…This method is based on simulation software and collaborative simulation. MATLAB-SimHydraulic (Hamzehlouia and Izadian, 2012), FlowMaster (Zhijun and Yangyang, 2010), Automation Studio (Yuan et al, 2012) and AME Sim (Li and Wang, 2010) are used for simulation in hydraulic and mechanic fields. In view of advantages of MATLAB-SimHydraulic, such as availability of toolboxes in different discipline and possibility of simulation of complex control, this paper presents a new multidisciplinary modelling method based on SimHydraulic, SimMechanic and Simulink in MATLAB for EHA to improve its model accuracy and realise the performance optimisation.…”

Section: Introductionmentioning

confidence: 99%

Multidisciplinary modelling and position tracking control of an electro-hydrostatic actuator using a novel adaptive fuzzy-PID controller

Hosseini

Shoorehdeli

2014

IJAMECHS

View full text Add to dashboard Cite

Electro-hydrostatic actuator (EHA) is a kind of hydraulic system in which fluid is routed directly by pump to the actuator. In this study, a novel adaptive fuzzy-PID controller is developed to improve position controlling performance of an EHA. First of all, design and simulation of an EHA by using multidisciplinary modelling method is presented. This model is evaluated by soft validation method. The whole proposed novel control system is composed of a pair of interconnected subsystems, that is, a simple fuzzy-PID controller (SFPID) and a radial basis function neural network (RBFNN) to enhance the tracking performance. The RBFNN fuzzy-PID control (RBFNNF-PID) is applied to EHA. Also, SFPID control, fuzzy-PID control based on extended Kalman filter using grey predictor (FPIDKG) and simple adaptive control (SAC) as significant controls are applied to EHA. The simulation results have shown a significant improvement in transient response and reduction in sum square error (SSE).

show abstract

A design and simulation of aircraft drilling end-effector based on bionics

Cited by 2 publications

References 8 publications

Analysis and comparison of control strategies for normal adjustment of a robotic drilling end-effector

Analysis and comparison of control strategies for normal adjustment of a robotic drilling end-effector

Multidisciplinary modelling and position tracking control of an electro-hydrostatic actuator using a novel adaptive fuzzy-PID controller

Contact Info

Product

Resources

About